To develop a probability model based on the observed frequencies for the letters C, A, R, E, and S, we can calculate the probability of each letter by dividing the observed frequency of each letter by the total number of trials (which is 100 in this case).
Here's how to calculate the probabilities:
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For C: \[ P(C) = \frac{20}{100} = 0.20 \]
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For A: \[ P(A) = \frac{25}{100} = 0.25 \]
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For R: \[ P(R) = \frac{30}{100} = 0.30 \]
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For E: \[ P(E) = \frac{10}{100} = 0.10 \]
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For S: \[ P(S) = \frac{15}{100} = 0.15 \]
Now, let's summarize the results in the probability model:
X C A R E S
P(X) 0.20 0.25 0.30 0.10 0.15
Therefore, the correct response based on the observed frequency is:
X C A R E S
P(X) 0.20 0.25 0.30 0.10 0.15